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Python 3.x for Computer Vision

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Python 3.x for Computer Vision
Python 3.x for Computer Vision
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 311 MB
Genre: eLearning | Language: English

This video course is a practical guide for developers who want to get started with building computer vision applications using Python 3. The video is divided into six sections:

The Fundamentals of Image Processing
Applied Computer Vision
Object detection
Making Applications Smarter
Extending your Capabilities using OpenCV
Getting Hands on
Throughout this video course, three image processing libraries: Pillow, Scikit-Image, and OpenCV are used to implement different computer vision algorithms.

The course will help you build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we look at in the course are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.

Python 3.x for Computer Vision

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  1. Python 3.x计算机视觉 本教程是适用于希望开始使用Python 3进行计算机视觉开发的开发者的使用指南。教程分为六个部分: • 图像处理基础 • 应用计算机视觉 • 对象检测 • 让应用更智能 • 使用OpenCV扩展你的能力 • 实践操作 在本教程中,我们将使用Pillow、Scikit-Image和OpenCV三个类库实现不同的计算机视觉算法。 本教程将会帮助你有效地开发能够处理真实工作中的计算机视觉应用。一些我们在教程中所看到的应用是光学字符识别、对象跟踪和将计算机视觉打造成一个工作在互联网上的服务平台。
    wilde(特殊组-翻译)1个月前 (10-14)